code: def __init__(self, is_target: bool = False):
      super().__init__(is_target)
      self._binarizer = MultiLabelBinarizer()
      self._seen = set()
      self.output_size = None
  
file_path: lightwood/lightwood/encoder/categorical/multihot.py
imports: import torch
  import numpy
  from lightwood.encoder import BaseEncoder
  from sklearn.preprocessing import MultiLabelBinarizer
label_desc: Use image node_id 1 to create a new MultiHotEncoder object from inherited base classes: BaseEncoder with example: obj = MultiHotEncoder(is_target)